Overview

This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.

Full Product Details

Author:   Valery A. Petrushin ,  Latifur Khan
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2007 ed.
Dimensions:   Width: 15.50cm , Height: 2.80cm , Length: 23.50cm
Weight:   0.831kg
ISBN:  

9781447160137

ISBN 10:   1447160134
Pages:   521
Publication Date:   26 November 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

into Multimedia Data Mining and Knowledge Discovery.- Multimedia Data Mining: An Overview.- Multimedia Data Exploration and Visualization.- A New Hierarchical Approach for Image Clustering.- Multiresolution Clustering of Time Series and Application to Images.- Mining Rare and Frequent Events in Multi-camera Surveillance Video.- Density-Based Data Analysis and Similarity Search.- Feature Selection for Classification of Variable Length Multiattribute Motions.- Multimedia Data Indexing and Retrieval.- FAST: Fast and Semantics-Tailored Image Retrieval.- New Image Retrieval Principle: Image Mining and Visual Ontology.- Visual Alphabets: Video Classification by End Users.- Multimedia Data Modeling and Evaluation.- Cognitively Motivated Novelty Detection in Video Data Streams.- Video Event Mining via Multimodal Content Analysis and Classification.- Exploiting Spatial Transformations for Identifying Mappings in Hierarchical Media Data.- A Novel Framework for Semantic Image Classification and Benchmark Via Salient Objects.- Extracting Semantics Through Dynamic Context.- Mining Image Content by Aligning Entropies with an Exemplar.- More Efficient Mining Over Heterogeneous Data Using Neural Expert Networks.- A Data Mining Approach to Expressive Music Performance Modeling.- Applications and Case Studies.- Supporting Virtual Workspace Design Through Media Mining and Reverse Engineering.- A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in Videos.- Multiple-Sensor People Localization in an Office Environment.- Multimedia Data Mining Framework for Banner Images.- Analyzing User’s Behavior on a Video Database.- On SVD-Free Latent Semantic Indexing for Iris Recognition of Large Databases.- Mining Knowledge in Computer Tomography Image Databases.

Reviews

From the reviews: The editors make a cogent argument in their preface as to the critical need for books such as this; namely, with the ever-decreasing costs and inversely proportional increasing size of storage and memory chips, massive multimedia (and speech) collections are no longer the sole domain of professional studios This book brings to light the great variety of technologies and applications for multimedia data mining and is sure to be of interest to academic researchers and industrial practitioners alike. (Michael Goldberg, ACM Computing Reviews, Vol. 49 (11), November 2008) The book cover the broad area of multimedia data mining and knowledge discovery. It consists of five parts in 25 chapters. In each chapter, leading researchers from academia or industry report their research work on selected topics, which are extended from papers presented at the Multimedia Data Mining Workshops in 2003 and 2004. the book is suitable for scientists, engineers, and senior graduate students who work in related fields. (Jie Yu, Journal of Electronic Imaging, Vol. 17 (4), October-December, 2008)

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